文献类型：期刊文献

英文题名：Investigating the neighborhood effect averaging problem (NEAP) in greenspace exposure: A study in Beijing

作者：Wang, Jianying[1,2];Kwan, Mei-Po[1,2,7];Xiu, Gezhi[3,4,5];Peng, Xia[6];Liu, Yu[3]

第一作者：Wang, Jianying

通讯作者：Kwan, MP[1];Kwan, MP[2];Kwan, MP[3]

机构：[1]Chinese Univ Hong Kong, Dept Geog & Resource Management, Wong Foo Yuan Bldg, Hong Kong, Peoples R China;[2]Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Fok Ying Tung Remote Sensing Sci Bldg, Hong Kong, Peoples R China;[3]Peking Univ, Inst Remote Sensing & Geog Informat Syst, Sch Earth & Space Sci, Beijing, Peoples R China;[4]Imperial Coll London, Ctr Complex Sci, London, England;[5]Imperial Coll London, Dept Math, London, England;[6]Beijing Union Univ, Tourism Coll, Beijing, Peoples R China;[7]Chinese Univ Hong Kong, Inst Future Cities, Wong Foo Yuan Bldg, Hong Kong, Peoples R China

第一机构：Chinese Univ Hong Kong, Dept Geog & Resource Management, Wong Foo Yuan Bldg, Hong Kong, Peoples R China

通讯机构：[1]corresponding author), Chinese Univ Hong Kong, Dept Geog & Resource Management, Wong Foo Yuan Bldg, Hong Kong, Peoples R China;[2]corresponding author), Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Fok Ying Tung Remote Sensing Sci Bldg, Hong Kong, Peoples R China;[3]corresponding author), Chinese Univ Hong Kong, Inst Future Cities, Wong Foo Yuan Bldg, Hong Kong, Peoples R China.

年份：2024

卷号：243

外文期刊名：LANDSCAPE AND URBAN PLANNING

收录：;Scopus(收录号：2-s2.0-85179090611);WOS:【SSCI(收录号:WOS:001135269200001)，SCI-EXPANDED(收录号:WOS:001135269200001)】；

基金：This research was supported by grants from the Hong Kong Research Grants Council (General Research Fund Grant no. 14605920, 14606922; Collaborative Research Fund Grant no. C4023-20GF; Research Matching Grants RMG 8601219, 8601242), and a grant from the Research Committee on Research Sustainability of Major Research Grants Council Funding Schemes 3133235 of the Chinese University of Hong Kong.

语种：英文

外文关键词：Neighborhood effect averaging; Greenspace exposure; Human mobility; Equity

摘要：Urban greenspaces are pivotal in enhancing the well-being and health of city residents. Accurate assessment of an individual's exposure to these natural settings is thus crucial in urban greenspace planning. However, the dynamic nature of human mobility, which determines the amount of greenspace exposure accessed over time and space, often leads to a divergence between the actual Mobility-Based Exposure (MBE) and the traditional Residence-Based Exposure (RBE). This discrepancy, encapsulated as the neighborhood effect averaging problem (NEAP), prompted us to examine the bias introduced by such discrepancy and its association with various human-based factors. This study delves into the complex interplay among the NEAP, individual mobility patterns, and demographic characteristics with fine-resolution estimations in Beijing, aiming to provide a nuanced understanding of the NEAP's influence. Uncovering heterogeneous patterns of disparity between RBE and MBE across distinct geographical realms and sociodemographic cohorts, and how such effects are mediated by populations with diverse mobility traits, the study illuminates the prevalence and complexity of the NEAP. Younger individuals, the employed population, those with larger activity spaces, high visitation diversity, and travel frequency, and residents living in areas with significant deviations from mean RBE levels experience a more pronounced NEAP impact. These insights contribute to a holistic grasp of the NEAP and underscore the imperative of inclusive greenspace urban planning that caters to the diverse mobility patterns and disparities among residents from different demographic groups, offering invaluable guidance for policy interventions to amplify greenspace exposure and address health disparities.